If Zappos wanted to utilize data mining, they might:
C. customer surveys on their style preferences.
Because data mining is a technique in finding data and utilizing data so that it can be processed into information and produce appropriate considerations and decisions.
Further Explanation
Data mining application with Decision Tree method with an attribute determination algorithm using gain information. The variables sought for strategic information are the names of batik categories based on pattern names, provinces of marketing regions, and gender of customers.
There are thousands of possibilities that can be used in data mining and predictive analysis. As
- Fraud detection: Fraud detection is always used in aspects of the financial industry. But not only there. The initial idea for detecting fraudulent activity is that many transactions occur using predictive analytical methods.
- Churn Prevention: Assumptions in the financial insurance industry have policy contracts with new customers. The insurance industry hopes to build a long relationship with policyholders. Therefore data mining can be used as a tool for consumers so that it does not occur and can evaluate insurance products.
- Sentiment Analysis: Not all sentiment analysis is always related to the financial industry. Sentiment analysis can be used for telecommunications, health and more. Analyze the concept of text mining and evaluate whether consumers like the product or not.
- Trading analytics: if a trader, invests in a portfolio or business policy or agreement. To calculate the level of success in the decision to be taken can use predictive analysis.
- Risk management: another example in the financial industry and can be done in many industries. Especially in supply chain management. For example, manufacturing analysis or transportation logistics. Data and predictive analysis can be used to solve many problems related to risk management.
- Quality assurance: Another application for predicting the quality of a process before the process is complete. Predictive models are used to describe the models used in the process and combine sensor data to describe the latest status of the products produced related to the detection of anomalies and why the same products are of different quality.
Learn More
Data Mining https://brainly.com/question/13954585
Customer Surveys https://brainly.com/question/13954585
Details
Class: Middle School
Subject: Business
Keywords: Data, Mining, Surveys
